Discovering Hidden Temporal Patterns in Behavior and Interaction [E-Book] : T-Pattern Detection and Analysis with THEME™ / edited by Magnus S. Magnusson, Judee K. Burgoon, Maurizio Casarrubea.
A thorough look at the different research applications of temporal pattern detection and analysis using specially developed software, THEME (TM). The T-system is a model for discovering hidden recurring patterns in observable behavior and can be useful to researchers in neuroscience, psychology, bio...
Saved in:
Full text |
|
Personal Name(s): | Burgoon, Judee K., editor |
Casarrubea, Maurizio, editor / Magnusson, Magnus S., editor | |
Edition: |
1st ed. 2016. |
Imprint: |
New York, NY :
Springer,
2016
|
Physical Description: |
XVIII, 333 p. 100 illus., 45 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9781493932498 |
DOI: |
10.1007/978-1-4939-3249-8 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Neuromethods ;
111 |
Subject (LOC): |
LEADER | 03863nam a22004215i 4500 | ||
---|---|---|---|
001 | 978-1-4939-3249-8 | ||
003 | Springer | ||
008 | 160111s2016 xxu| s |||| 0|eng d | ||
020 | |a 9781493932498 | ||
024 | 7 | |a 10.1007/978-1-4939-3249-8 |2 doi | |
035 | |a (Sirsi) a474159 | ||
035 | |a i9781493932498 | ||
041 | |a eng | ||
082 | 0 | 4 | |a 612.8 |2 23 |
245 | 1 | 0 | |a Discovering Hidden Temporal Patterns in Behavior and Interaction |h [E-Book] : |b T-Pattern Detection and Analysis with THEME™ / |c edited by Magnus S. Magnusson, Judee K. Burgoon, Maurizio Casarrubea. |
250 | |a 1st ed. 2016. | ||
264 | 1 | |a New York, NY : |b Springer, |c 2016 |e (Springer LINK) | |
300 | |a XVIII, 333 p. 100 illus., 45 illus. in color. |b online resource. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | |a Neuromethods ; |v 111 | ||
500 | |a englisch | ||
505 | 0 | |a Preface -- Time and Self-similar Structure in Behavior and Interactions: From Sequences to Symmetry and Fractals -- Interactive Deception In Group Decision-Making: New Insights From Communication Pattern Analysis -- Imposing Cognitive Load To Detect Prepared Lies: A T-Pattern Approach -- Paraverbal Communicative Teaching T-patterns using SOCIN and SOPROX observational systems -- The Self-Organization of Self-Injurious Behavior as Revealed Through Temporal Pattern Analyses -- Detecting and Characterizing Patterns of Behavioral Symptoms of Dementia -- Typical errors and behavioral sequences in judo techniques: knowledge of performance and the analysis of T-patterns in relation to teaching and learning the Ouchi-gari throw -- Qualitative differences in men’s and women’s facial movements in an experimental situation -- Understanding Film Art: Moments Of Impact And Patterns Of Reactions -- Immersive Dynamics: Presence Experiences And Patterns Of Attention -- Accessing Individual Style Through Proposed Use Of Theme Associates -- Application Of T-Pattern Analysis In The Study Of Rodent Behavior: Methodological And Experimental Highlights -- Using Hidden Behavioral Patterns To Study Nausea In A Preclinical Model -- Informative Value Of Vocalizations During Multimodal Interactions In Red-Capped Mangabeys -- Identification And Description Of Behaviours And Domination Patterns In Captive Vervet Monkeys (Cercophitecus Aethiops Pygerythrus) During Feeding Time -- Tidal Location Of Atlantic Cod In Icelandic Waters And Identification Of Vertical And Horizontal Movement Patterns In Cod Behavior -- Complex Spike Patterns in Olfactory Bulb Neuronal Networks. | |
520 | |a A thorough look at the different research applications of temporal pattern detection and analysis using specially developed software, THEME (TM). The T-system is a model for discovering hidden recurring patterns in observable behavior and can be useful to researchers in neuroscience, psychology, biology, robotics, finance, medicine, and many other fields. This system forms the basis for the search algorithms in THEME (TM) , now in its 6th edition and available in both educational and fully commercial versions. Each chapter describes the methodology used and discusses the findings in detail, providing a highly useful primer for advanced students and researchers. . | ||
650 | 0 | |a Medicine. | |
650 | 0 | |a Neurosciences. | |
650 | 0 | |a Psychology. | |
700 | 1 | |a Burgoon, Judee K., |e editor. | |
700 | 1 | |a Casarrubea, Maurizio, |e editor. | |
700 | 1 | |a Magnusson, Magnus S., |e editor. | |
856 | |u https://link.springer.com/book/10.1007%2F978-1-4939-3249-8 |z Volltext | ||
908 | |a SpringerProtocols | ||
915 | |a zzwFZJ3 | ||
932 | |a Springer Protocols (Springer-12345) | ||
596 | |a 1 | ||
949 | |a XX(474159.1) |w AUTO |c 1 |i 474159-1001 |l ELECTRONIC |m ZB |r N |s Y |t E-BOOK |u 2/2/2016 |x ZB-L |z UNKNOWN |0 NEL |1 ONLINE |